Optimal allocation of PMUs in active distribution network considering reliability of state estimation results

Gholami, Mohammad Hadi; Abbaspour, Ali; Fattaheian‐Dehkordi, Sajjad; Lehtonen, Matti; Moeini‐Aghtaie, Moein; Fotuhi, M.

doi:10.1049/iet-gtd.2019.1946

Cited by 27 publications

(14 citation statements)

References 26 publications

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“…Thus, the hierarchical part of th proposed architecture has no negative effect on the reliability and the latency of CIs. O the other hand, due to the elimination of data exchange between neighboring ZEs in di ferent feeder or substation, the proposed scheme can improve these features in ADN Indeed, according to [27], the latency and reliability of CIs between sending and receivin units depend on the length of line sections and the number of buses that connect them (the route with minimum length). In the distributed implementation of SE, the loca According to Figure 2, the final estimated states are attained based on two different steps: local voltage estimations and coordination of the local SE results.…”

Section: The Architecture Of Proposed Hdsementioning

confidence: 99%

“…On the other hand, due to the elimination of data exchange between neighboring ZEs in different feeder or substation, the proposed scheme can improve these features in ADNs. Indeed, according to [27], the latency and reliability of CIs between sending and receiving units depend on the length of line sections and the number of buses that connect them (the route with minimum length). In the distributed implementation of SE, the local voltage estimation of border buses (overlapped buses and buses with tie-lines) should be exchanged between neighboring zones in two different feeders or substations for revising local voltage profiles in the coordination phase.…”

Section: The Architecture Of Proposed Hdsementioning

confidence: 99%

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A Novel Multi-Area Distribution State Estimation Approach for Active Networks

et al. 2021

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This paper presents a hierarchically distributed algorithm for the execution of distribution state estimation function in active networks equipped with some phasor measurement units. The proposed algorithm employs voltage-based state estimation in rectangular form and is well-designed for large-scale active distribution networks. For this purpose, as the first step, the distribution network is supposed to be divided into some overlapped zones and local state estimations are executed in parallel for extracting operating states of these zones. Then, using coordinators in the feeders and the substation, the estimated local voltage profiles of all zones are coordinated with the local state estimation results of their neighboring zones. In this regard, each coordinator runs a state estimation process for the border buses (overlapped buses and buses with tie-lines) of its zones and based on the results for voltage phasor of border buses, the local voltage profiles in non-border buses of its zones are modified. The performance of the proposed algorithm is tested with an active distribution network, considering different combinations of operating conditions, network topologies, network decompositions, and measurement scenarios, and the results are presented and discussed.

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Section: The Architecture Of Proposed Hdsementioning

confidence: 99%

Section: The Architecture Of Proposed Hdsementioning

confidence: 99%

A Novel Multi-Area Distribution State Estimation Approach for Active Networks

et al. 2021

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“…The deregulation market introduced competition among new players, bringing a two-way flow of power in distribution systems. These happenings made the distribution network transform from passive to active configuration; in turn, their difficulty and changing aspects have been built up over time [1]. This scenario demands advanced management systems with accurate monitoring, control, and adequate protection systems for reliable operation, which is a most significant task for the distribution network operators [2].…”

Section: Introductionmentioning

confidence: 99%

Voltage Estimation of Active Distribution Network Using PMU Technology

Tangi

Gaonkar

2021

IEEE Access

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As the Distributed Generation (DG) is evolving, the distribution network has undergone tremendous change. The DG sources like wind and solar are intermittent in nature. Hence to estimate the Active distribution network's (ADN) parameters (Voltage and Current) accurately with the DG variation, the traditional offline method like long-term smart distribution network planning (with off-line variant) method is not feasible in terms of network's reliability and operation. In this work, an online voltage estimation technique using PMU (Phasor Measurement Unit) technology is proposed to enhance a distribution network's reliable operation and real-time monitoring. The proposed estimation method does not require PMU units at all nodes in the network. The estimation of unknown states information can be achieved from available PMU unit's data. The proposed methodology is economical and feasible for voltage estimation, and system observability as the number of PMU units required is less. The standard IEEE Distribution network systems are considered for checking the feasibility of the recommended technique. For the simulation of the case studies, MATLAB programming is used. A Forward and Backward sweep (FBS) load-flow algorithm is used to authenticate the proposed methodology.

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“…Usually, this assessment is performed by considering only the uncertainties related to measurement errors. The most used approaches to take these uncertainties into account in the SE accuracy assessment are Monte Carlo simulation (MCS) [9][10][11][12][13] and the analytical method. [14][15][16][17] The main advantage of MCS is its flexibility to model complex operation characteristics of the system under study by synthetic sampling of system states.…”

Section: Introductionmentioning

confidence: 99%

“…However, the main disadvantage of MCS is its high computational cost. This disadvantage of the MCS is critical in the optimal meter placement [9][10][11][12][13] and in applications that assess the impact of distribution planning strategies on SEA, that is, distribution network reconfiguration. 17 In these studies, it is necessary to assess the SEA for a large number of candidates in order to find the optimal solution.…”

Section: Introductionmentioning

confidence: 99%

Hybrid probabilistic method to model measurement failures in the accuracy assessment of state estimator in smart grids

Raposo

Rodrigues

Silva

2021

Int Trans Electr Energ Syst

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Measurement data from smart meters installed at customers' load points are transferred from multiple data aggregation points (DAPs) to a local hub. This device serves as a master gateway for a neighborhood area network (NAN).Thus, the unavailability of a DAP will result in loss of data related to energy usage and measurement for all smart meters associated with the failed DAP.As a result, various DMS functions that use these data may be compromised, for example, energy billing and state estimation (SE). This paper proposes a

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Optimal allocation of PMUs in active distribution network considering reliability of state estimation results

Cited by 27 publications

References 26 publications

A Novel Multi-Area Distribution State Estimation Approach for Active Networks

A Novel Multi-Area Distribution State Estimation Approach for Active Networks

Voltage Estimation of Active Distribution Network Using PMU Technology

Hybrid probabilistic method to model measurement failures in the accuracy assessment of state estimator in smart grids

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